About this role
Salary: £? - ? per year
Requirements: 5+ years of experience in data science and analytics, including running production models and BAU analyticsStrong SQL and Python or RComfortable reading and maintaining an existing codebase and pipelinesHands-on experience maintaining production ML models: refresh, retrain, monitor, and troubleshoot, rather than building from scratchWorking knowledge of Looker, Airflow, and Google CloudAdvanced degree in a quantitative discipline (Computer Science, Mathematics, Statistics, Physics, or similar), or equivalent experience Responsibilities: Monitor the International revenue baseline across the UK and CA, investigate anomalies, and give early warning on revenue movementSupport partner monitoring and escalations, including new offer setup, lookalike and recommender admin, partner click-report fixes, and partner ranking changesRun email campaign and performance monitoring, including anomaly investigation, re-targeting, send-failure triage, and churn-driver analysisSupport experimentation and testing, including experiment monitoring, reads, and promotion callsRepresent analytics in forums and business reviews, and translate technical detail for business partnersMaintain the current suite of production models, including scheduled refreshes, retraining, and redeploysKeep models healthy without rebuilding themHand over models, pipelines, and reporting with monitoring and documentation to the permanent team at contract close Technologies: AirflowCloudSupportLookerMarketingPythonSQL More:
We are an award-winning global SaaS company seeking an experienced, hands-on Senior Data Scientist to cover International (UK and CA) run-the-business analytics and data science. This is a 6-month contract with hybrid working and potential to extend. You will work closely with product, marketing, engineering, business development, compliance, and member support as the sole senior owner, keeping revenue visibility, regulatory reporting, and the current model suite running with minimal hands-on support. We offer hybrid working with 3 days in the office, an award-winning work environment, global organisation exposure, and free breakfast.
last updated 38 week of 2026